Llama 3 Hyperbolic 8B: pricing, context window and benchmarks
Llama 3 Hyperbolic 8B is a small open-weight model from Hyperbolic. It offers a 16,384-token context window, costs $0.92 per million input tokens and $4.50 per million output tokens, and averages 56.0 across the index's benchmark suite.
Pricing
Llama 3 Hyperbolic 8B costs $0.92 per million input tokens and $4.50 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.81 per million tokens. Cached input is listed at $0.12 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.92 | per 1M tokens |
| Output | $4.50 | per 1M tokens |
| Cached input | $0.12 | per 1M tokens |
| Blended 3:1 | $1.81 | estimate per 1M tokens |
| 1M in + 1M out | $5.42 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 62.1 | 501 | 17th | |
| GPQA Diamond | 50.6 | 516 | 14th | |
| SWE-bench Verified | 44.3 | 474 | 21th | |
| HumanEval | 58.5 | 518 | 14th | |
| MATH-500 | 55.9 | 506 | 16th | |
| AIME 2025 | 47.1 | 476 | 21th | |
| LiveCodeBench | 46.7 | 481 | 20th | |
| IFEval | 65.9 | 519 | 14th | |
| TruthfulQA | 60.7 | 522 | 13th | |
| HellaSwag | 70.8 | 526 | 12th | |
| MMMU | 53.8 | 510 | 15th | |
| Arena Elo | 1245.3 | 498 | 17th |
What Llama 3 Hyperbolic 8B is good for
Llama 3 Hyperbolic 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.92 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.92 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Context window of 16,384 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Yi-Large 8B | 01.AI | 32768 | $0.88 | 56.1 |
| Llama 3 Hyperbolic 8B | Hyperbolic | 16384 | $0.92 | 56.0 |
| Llama 3 Replicate 7B | Replicate | 32768 | $0.91 | 56.0 |
| Gemma 3 7B | Google DeepMind | 32768 | $0.90 | 55.9 |
| Pythia Base | EleutherAI | 16384 | $0.99 | 55.9 |
| Yi-Lightning 7B | 01.AI | 32768 | $1.00 | 55.9 |
FAQ
How much does Llama 3 Hyperbolic 8B cost?
Llama 3 Hyperbolic 8B is listed at $0.92 per million input tokens and $4.50 per million output tokens. Cached input is $0.12 per million tokens. A blended 3:1 input-to-output mix is about $1.81 per million tokens.
What is the context window of Llama 3 Hyperbolic 8B?
Llama 3 Hyperbolic 8B has a context window of 16,384 tokens and can emit up to 8,192 output tokens per request in this index.
Is Llama 3 Hyperbolic 8B open weights?
Yes. Llama 3 Hyperbolic 8B is listed as an open-weight model under a open weights licence.
How does Llama 3 Hyperbolic 8B score on benchmarks?
Llama 3 Hyperbolic 8B averages 56.0 across the scored benchmarks in this index, ranking #505 of 600 models. Its strongest relative result is Arena Elo at 1245.3.
What is Llama 3 Hyperbolic 8B best for?
Llama 3 Hyperbolic 8B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.92 per million input tokens it can handle a large share of production traffic.